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but will handle multiple thresholds to compare to each indicator, etc.
Table of counts, percents, cumulative counts, cumulative percents
of places with N, or at least N, of the indicators
at or above the benchmark(s)"><meta property="og:description" content="Like colcounter() or cols.above.count()
but will handle multiple thresholds to compare to each indicator, etc.
Table of counts, percents, cumulative counts, cumulative percents
of places with N, or at least N, of the indicators
at or above the benchmark(s)"><meta property="og:image" content="https://usepa.github.io/EJAM/logo.svg"></head><body>
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      <img src="../logo.svg" class="logo" alt=""><h1>Summarize how many rows have N columns at or above (or below) various thresholds?</h1>
      <small class="dont-index">Source: <a href="https://github.com/USEPA/EJAM/blob/HEAD/R/colcounter_xyz.R" class="external-link"><code>R/colcounter_xyz.R</code></a></small>
      <div class="d-none name"><code>colcounter_summary.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>Like colcounter() or cols.above.count()
but will handle multiple thresholds to compare to each indicator, etc.</p>
<p>Table of counts, percents, cumulative counts, cumulative percents
of places with N, or at least N, of the indicators
at or above the benchmark(s)</p>
    </div>

    <div class="section level2">
    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">colcounter_summary</span><span class="op">(</span></span>
<span>  <span class="va">x</span>,</span>
<span>  <span class="va">thresholdlist</span>,</span>
<span>  or.tied <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span>  na.rm <span class="op">=</span> <span class="cn">TRUE</span>,</span>
<span>  below <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span>  one.cut.per.col <span class="op">=</span> <span class="cn">FALSE</span></span>
<span><span class="op">)</span></span></code></pre></div>
    </div>

    <div class="section level2">
    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>


<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
<dd><p>Data.frame or matrix of numbers to be compared to threshold value,
like percentiles for example.</p></dd>


<dt id="arg-thresholdlist">thresholdlist<a class="anchor" aria-label="anchor" href="#arg-thresholdlist"></a></dt>
<dd><p>vector of numeric threshold values to compare to</p></dd>


<dt id="arg-or-tied">or.tied<a class="anchor" aria-label="anchor" href="#arg-or-tied"></a></dt>
<dd><p>if TRUE, include ties (value in x equals threshold)</p></dd>


<dt id="arg-na-rm">na.rm<a class="anchor" aria-label="anchor" href="#arg-na-rm"></a></dt>
<dd><p>if TRUE, used by <code><a href="colcounter.html">colcounter()</a></code> to count only the non-NA columns in given row</p></dd>


<dt id="arg-below">below<a class="anchor" aria-label="anchor" href="#arg-below"></a></dt>
<dd><p>if TRUE, count x below threshold not above threshold</p></dd>


<dt id="arg-one-cut-per-col">one.cut.per.col<a class="anchor" aria-label="anchor" href="#arg-one-cut-per-col"></a></dt>
<dd><p>if FALSE, compare each threshold to all of x.
If TRUE, specify one threshold to use for each column.</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
    <p>A table of frequency counts</p>
    </div>
    <div class="section level2">
    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
    <div class="dont-index"><p><code><a href="colcounter_summary_all.html">colcounter_summary_all()</a></code> <code>colcounter_summary()</code> <code><a href="colcounter_summary_cum.html">colcounter_summary_cum()</a></code> <code><a href="colcounter_summary_pct.html">colcounter_summary_pct()</a></code> <code><a href="colcounter_summary_cum_pct.html">colcounter_summary_cum_pct()</a></code>
<code><a href="tablefixed.html">tablefixed()</a></code></p></div>
    </div>

    <div class="section level2">
    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span> <span class="va">pdata</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>a<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">80</span>,<span class="fl">4</span><span class="op">)</span>,b<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">93</span>,<span class="fl">4</span><span class="op">)</span>, col3<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">49</span>,<span class="fl">98</span>,<span class="fl">100</span>,<span class="fl">100</span><span class="op">)</span><span class="op">)</span></span>
<span>  <span class="co">### pdata &lt;- EJAM::blockgroupstats[ , names_e_pctile]</span></span>
<span> <span class="va">pcuts</span> <span class="op">&lt;-</span>  <span class="fl">5</span> <span class="op">*</span> <span class="op">(</span><span class="fl">0</span><span class="op">:</span><span class="fl">20</span><span class="op">)</span>  </span>
<span><span class="fu">colcounter_summary</span><span class="op">(</span>        <span class="va">pdata</span>, <span class="va">pcuts</span><span class="op">)</span></span>
<span><span class="fu"><a href="colcounter_summary_pct.html">colcounter_summary_pct</a></span><span class="op">(</span>    <span class="va">pdata</span>, <span class="va">pcuts</span><span class="op">)</span></span>
<span><span class="fu"><a href="colcounter_summary_cum.html">colcounter_summary_cum</a></span><span class="op">(</span>    <span class="va">pdata</span>, <span class="va">pcuts</span><span class="op">)</span></span>
<span><span class="fu"><a href="colcounter_summary_cum_pct.html">colcounter_summary_cum_pct</a></span><span class="op">(</span><span class="va">pdata</span>, <span class="va">pcuts</span><span class="op">)</span></span>
<span><span class="fu"><a href="colcounter_summary_cum_pct.html">colcounter_summary_cum_pct</a></span><span class="op">(</span><span class="va">pdata</span>, <span class="fl">5</span> <span class="op">*</span> <span class="op">(</span><span class="fl">10</span><span class="op">:</span><span class="fl">20</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="va">a3</span> <span class="op">&lt;-</span> <span class="fu"><a href="colcounter_summary_all.html">colcounter_summary_all</a></span><span class="op">(</span>    <span class="va">pdata</span>, <span class="va">pcuts</span><span class="op">)</span></span>
<span></span>
<span><span class="va">x80</span> <span class="op">&lt;-</span> <span class="fu"><a href="colcounter.html">colcounter</a></span><span class="op">(</span><span class="va">pdata</span>, threshold <span class="op">=</span> <span class="fl">80</span>, or.tied <span class="op">=</span> <span class="cn">T</span><span class="op">)</span></span>
<span><span class="va">x95</span> <span class="op">&lt;-</span> <span class="fu"><a href="colcounter.html">colcounter</a></span><span class="op">(</span><span class="va">pdata</span>, threshold <span class="op">=</span> <span class="fl">95</span>, or.tied <span class="op">=</span> <span class="cn">T</span><span class="op">)</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/table.html" class="external-link">table</a></span><span class="op">(</span><span class="va">x95</span><span class="op">)</span></span>
<span><span class="fu"><a href="tablefixed.html">tablefixed</a></span><span class="op">(</span><span class="va">x95</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">NCOL</a></span><span class="op">(</span><span class="va">pdata</span><span class="op">)</span><span class="op">)</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">cbind</a></span><span class="op">(</span>at80<span class="op">=</span><span class="fu"><a href="tablefixed.html">tablefixed</a></span><span class="op">(</span><span class="va">x80</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">NCOL</a></span><span class="op">(</span><span class="va">pdata</span><span class="op">)</span><span class="op">)</span>, at95<span class="op">=</span><span class="fu"><a href="tablefixed.html">tablefixed</a></span><span class="op">(</span><span class="va">x95</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">NCOL</a></span><span class="op">(</span><span class="va">pdata</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
<span></span></code></pre></div>
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